Literacy in India

Literacy refers to an individual’s ability to communicate through reading and writing. The literacy rate for any population measures the fraction of the population, above a certain cut-off age, that is literate. Based on the most recent statistics compiled by UNESCO, more than one in three Indians above the age of 15 years is unable to read and write. Further, the roughly 268 million adult illiterates in India constitute one-third of the global population of illiterates. International comparisons show that the Indian literacy rate is well below those for other populous countries like China and also below those for developing countries in general

Fertility, Education and Development: Further Evidence from India

There has been a significant decline in fertility in many parts of India since the early 1980s. This paper reexamines the determinants of fertility levels and fertility decline, using panel data on Indian districts for 1981 and 1991. We find that women's education is the most important factor explaining fertility differences across the country and over time. Low levels of child mortality and son preferences also contribute to lower fertility. By contrast, general indicators of modernization and development such as urbanisation, poverty reduction, and male literacy bear no significant association with fertility. En passant, we probe a subject of much confusion - the relation between fertility decline and gender bias.Fertility, demographic transition, female literacy, India

Attitudes to equality : the"socialist legacy"revisited

It is routinely assumed that residents of post-socialist countries have a preference for greater income equality, other things being equal, owing to the legacy of socialism. This proposition is examined in the context of Eastern Europe and the former Soviet Union using data from three waves of the World Values Survey. Contrary to expectations, the authors find little evidence of a'socialist legacy'en bloc. Considering the former Soviet Union separately from other post-socialist countries, the analysis finds that as a group these countries display significantly lower preference for moving toward greater income equality than both Eastern Europe and other comparator groups (developed and developing countries). These findings hold up even when controlling for the conventional determinants of attitudes such as income level and employment status of the individual respondent, as well as national factors such as per-capita income and its distribution. Moreover, the preference for greater income inequality appears to have persisted at least since the mid-1990s and possibly since the early 1990s (data difficulties preclude a robust examination of this latter question). The results are consistent with the fairly low levels of public spending on redistribution commonly found in the former Soviet Union.Access to Finance,Inequality,,Poverty Impact Evaluation,Corporate Law

The Role of the Mangement Sciences in Research on Personalization

We present a review of research studies that deal with personalization. We synthesize current knowledge about these areas, and identify issues that we envision will be of interest to researchers working in the management sciences. We take an interdisciplinary approach that spans the areas of economics, marketing, information technology, and operations. We present an overarching framework for personalization that allows us to identify key players in the personalization process, as well as, the key stages of personalization. The framework enables us to examine the strategic role of personalization in the interactions between a firm and other key players in the firm's value system. We review extant literature in the strategic behavior of firms, and discuss opportunities for analytical and empirical research in this regard. Next, we examine how a firm can learn a customer's preferences, which is one of the key components of the personalization process. We use a utility-based approach to formalize such preference functions, and to understand how these preference functions could be learnt based on a customer's interactions with a firm. We identify well-established techniques in management sciences that can be gainfully employed in future research on personalization.CRM, Persoanlization, Marketing, e-commerce,

Consensus in the Presence of Multiple Opinion Leaders: Effect of Bounded Confidence

The problem of analyzing the performance of networked agents exchanging evidence in a dynamic network has recently grown in importance. This problem has relevance in signal and data fusion network applications and in studying opinion and consensus dynamics in social networks. Due to its capability of handling a wider variety of uncertainties and ambiguities associated with evidence, we use the framework of Dempster-Shafer (DS) theory to capture the opinion of an agent. We then examine the consensus among agents in dynamic networks in which an agent can utilize either a cautious or receptive updating strategy. In particular, we examine the case of bounded confidence updating where an agent exchanges its opinion only with neighboring nodes possessing 'similar' evidence. In a fusion network, this captures the case in which nodes only update their state based on evidence consistent with the node's own evidence. In opinion dynamics, this captures the notions of Social Judgment Theory (SJT) in which agents update their opinions only with other agents possessing opinions closer to their own. Focusing on the two special DS theoretic cases where an agent state is modeled as a Dirichlet body of evidence and a probability mass function (p.m.f.), we utilize results from matrix theory, graph theory, and networks to prove the existence of consensus agent states in several time-varying network cases of interest. For example, we show the existence of a consensus in which a subset of network nodes achieves a consensus that is adopted by follower network nodes. Of particular interest is the case of multiple opinion leaders, where we show that the agents do not reach a consensus in general, but rather converge to 'opinion clusters'. Simulation results are provided to illustrate the main results.Comment: IEEE Transactions on Signal and Information Processing Over Networks, to appea

Potensi Bakteri Endofit Dalam Meningkatkan Pertumbuhan Tanaman Tembakau Yang Terinfeksi Nematoda Puru Akar (Meloidogyne Spp.)

Potensi Bakteri Endofit dalam Meningkatkan Pertumbuhan Tanaman Tembakau yang Terinfeksi Nematoda Puru Akar (Meloidogyne spp.). Nematoda puru akar (Meloidogyne spp.) pada tanaman tembakau merupakan penyakit penting yang dihadapi oleh perkebunan tembakau di Indonesia. Beberapa teknik pengendalian telah dilakukan, seperti penggunaan nematisida, kultur teknis dan penambahan bahan organik namun belum efektif mengendalikan patogen ini. Pengendalian biologi dengan bakteri endofit merupakan alternatif pengendalian Meloidogyne spp. Penelitian ini bertujuan untuk mendapatkan bakteri endofit asal akar nilam meningkatkan pertumbuhan tanaman tembakau yang terinfeksi nematoda puru akar (Meloidogyne spp.). Penelitian ini dilaksanakan di Laboratorium Penyakit Tumbuhan Fakultas Pertanian Universitas Sumatera Utara pada bulan Juli – Desember 2014. Penelitian ini menggunakan Rancangan Acak Lengkap nonfaktorial dengan perlakuan pemberian beberapa jenis bakteri endofit yaitu: Kontrol (diaplikasikan nematoda 500ekor/pot), Bacillus spp.1, Pseudomonas spp. dan Bacillus spp.2. Hasil penelitian menunjukan laju pertumbuhan dan pertambahan jumlah daun terbaik terdapat pada perlakuan Pseudomonas spp. sedangkan berat basah dan kering akar tertinggi terdapat pada tanaman yang diaplikasikan Bacillus spp 1

Evaluation of mfcc estimation techniques for music similarity

Publication in the conference proceedings of EUSIPCO, Florence, Italy, 200

Evaluating Greek equity funds using data envelopment analysis

This study assesses the relative performance of Greek equity funds employing a non-parametric method, specifically Data Envelopment Analysis (DEA). Using an original sample of cost and operational attributes we explore the e¤ect of each variable on funds' operational efficiency for an oligopolistic and bank-dominated fund industry. Our results have significant implications for the investors' fund selection process since we are able to identify potential sources of inefficiencies for the funds. The most striking result is that the percentage of assets under management affects performance negatively, a conclusion which may be related to the structure of the domestic stock market. Furthermore, we provide evidence against the notion of funds' mean-variance efficiency

Stable 1-Norm Error Minimization Based Linear Predictors for Speech Modeling

In linear prediction of speech, the 1-norm error minimization criterion has been shown to provide a valid alternative to the 2-norm minimization criterion. However, unlike 2-norm minimization, 1-norm minimization does not guarantee the stability of the corresponding all-pole filter and can generate saturations when this is used to synthesize speech. In this paper, we introduce two new methods to obtain intrinsically stable predictors with the 1-norm minimization. The first method is based on constraining the roots of the predictor to lie within the unit circle by reducing the numerical range of the shift operator associated with the particular prediction problem considered. The second method uses the alternative Cauchy bound to impose a convex constraint on the predictor in the 1-norm error minimization. These methods are compared with two existing methods: the Burg method, based on the 1-norm minimization of the forward and backward prediction error, and the iteratively reweighted 2-norm minimization known to converge to the 1-norm minimization with an appropriate selection of weights. The evaluation gives proof of the effectiveness of the new methods, performing as well as unconstrained 1-norm based linear prediction for modeling and coding of speech